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Modification of canny edge detection for coral reef components estimation distribution from underwater video transect

机译:Canny边缘检测的修改,用于水下视频样带的珊瑚礁成分估计分布

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摘要

In recent years, monitoring of coral reef status and health are done with the assist from image processing technique. Since underwater images are always suffer from major drawbacks, research in this area is still active. In this paper, we propose to use edge based segmentation where we modify the original canny edge detector and then use the blob processing technique to extract dominant features from the images. We conduct the experiments using images that are extracted from video transect and the results are promising for estimating coral reefs distribution.
机译:近年来,借助图像处理技术来监测珊瑚礁的状况和健康。由于水下图像始终遭受重大缺陷,因此该领域的研究仍在进行中。在本文中,我们建议使用基于边缘的分割方法,在此方法中,我们将修改原始的Canny边缘检测器,然后使用Blob处理技术从图像中提取优势特征。我们使用从视频样带中提取的图像进行实验,其结果有望估算珊瑚礁的分布。

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